A simple strategy to prune neural networks with an application to economic time series

A major problem in applying neural networks is specifying the size of the network. Even for moderately sized networks the number of parameters may become large compared to the number of data. In this paper network performance is examined while reducing the size of the network through the use of multiple correlation coefficients, principal component analysis of residuals and graphical analysis of network output per hidden layer cell and input layer cell.

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Year of publication:	1998-12-31
Authors:	Kaashoek, J.F. ; Dijk, H.K. van
Institutions:	Erasmus University Rotterdam, Econometric Institute
Subject:	neural networks \| economic time series

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Extent:	application/pdf
Series:	Econometric Institute Report. - ISSN 1566-7294.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series RePEc:dgr:eureir Number EI 9854
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008584840